Overview

Dataset statistics

Number of variables33
Number of observations284807
Missing cells56962
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.9 MiB
Average record size in memory301.7 B

Variable types

Numeric30
Categorical3

Alerts

Group has a high cardinality: 1400 distinct valuesHigh cardinality
Per2 is highly overall correlated with Normalised_FNTHigh correlation
Dem1 is highly overall correlated with TargetHigh correlation
Dem4 is highly overall correlated with TargetHigh correlation
Dem5 is highly overall correlated with TargetHigh correlation
Dem8 is highly overall correlated with Dem9High correlation
Dem9 is highly overall correlated with Dem8High correlation
Normalised_FNT is highly overall correlated with Per2High correlation
geo_score is highly overall correlated with TargetHigh correlation
instance_scores is highly overall correlated with TargetHigh correlation
qsets_normalized_tat is highly overall correlated with TargetHigh correlation
lambda_wt is highly overall correlated with TargetHigh correlation
Target is highly overall correlated with Dem1 and 7 other fieldsHigh correlation
data is highly overall correlated with TargetHigh correlation
Target is highly imbalanced (98.2%)Imbalance
Target has 56962 (20.0%) missing valuesMissing
id is uniformly distributedUniform
id has unique valuesUnique

Reproduction

Analysis started2023-02-01 10:27:12.329728
Analysis finished2023-02-01 10:30:04.692549
Duration2 minutes and 52.36 seconds
Software versionpandas-profiling vv3.6.3
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct284807
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142403
Minimum0
Maximum284806
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.3 MiB
2023-02-01T16:00:04.797385image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14240.3
Q171201.5
median142403
Q3213604.5
95-th percentile270565.7
Maximum284806
Range284806
Interquartile range (IQR)142403

Descriptive statistics

Standard deviation82216.843
Coefficient of variation (CV)0.57735331
Kurtosis-1.2
Mean142403
Median Absolute Deviation (MAD)71202
Skewness-5.0543057 × 10-19
Sum4.0557371 × 1010
Variance6.7596093 × 109
MonotonicityNot monotonic
2023-02-01T16:00:04.948496image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112751 1
 
< 0.1%
197947 1
 
< 0.1%
273451 1
 
< 0.1%
81277 1
 
< 0.1%
69475 1
 
< 0.1%
34598 1
 
< 0.1%
202156 1
 
< 0.1%
165911 1
 
< 0.1%
138413 1
 
< 0.1%
262000 1
 
< 0.1%
Other values (284797) 284797
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
284806 1
< 0.1%
284805 1
< 0.1%
284804 1
< 0.1%
284803 1
< 0.1%
284802 1
< 0.1%
284801 1
< 0.1%
284800 1
< 0.1%
284799 1
< 0.1%
284798 1
< 0.1%
284797 1
< 0.1%

Group
Categorical

Distinct1400
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.3 MiB
Grp108
 
1847
Grp184
 
1786
Grp70
 
1771
Grp36
 
1768
Grp42
 
1768
Other values (1395)
275867 

Length

Max length7
Median length6
Mean length5.5475006
Min length4

Characters and Unicode

Total characters1579967
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique375 ?
Unique (%)0.1%

Sample

1st rowGrp169
2nd rowGrp161
3rd rowGrp261
4th rowGrp198
5th rowGrp228

Common Values

ValueCountFrequency (%)
Grp108 1847
 
0.6%
Grp184 1786
 
0.6%
Grp70 1771
 
0.6%
Grp36 1768
 
0.6%
Grp42 1768
 
0.6%
Grp141 1754
 
0.6%
Grp51 1736
 
0.6%
Grp137 1734
 
0.6%
Grp43 1731
 
0.6%
Grp17 1727
 
0.6%
Other values (1390) 267185
93.8%

Length

2023-02-01T16:00:05.076696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
grp108 1847
 
0.6%
grp184 1786
 
0.6%
grp70 1771
 
0.6%
grp36 1768
 
0.6%
grp42 1768
 
0.6%
grp141 1754
 
0.6%
grp51 1736
 
0.6%
grp137 1734
 
0.6%
grp43 1731
 
0.6%
grp17 1727
 
0.6%
Other values (1390) 267185
93.8%

Most occurring characters

ValueCountFrequency (%)
G 284807
18.0%
r 284807
18.0%
p 284807
18.0%
1 145999
9.2%
2 106432
 
6.7%
3 78304
 
5.0%
4 72721
 
4.6%
5 63828
 
4.0%
6 57167
 
3.6%
8 55594
 
3.5%
Other values (3) 145501
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 725546
45.9%
Lowercase Letter 569614
36.1%
Uppercase Letter 284807
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 145999
20.1%
2 106432
14.7%
3 78304
10.8%
4 72721
10.0%
5 63828
8.8%
6 57167
 
7.9%
8 55594
 
7.7%
7 50083
 
6.9%
0 49446
 
6.8%
9 45972
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
r 284807
50.0%
p 284807
50.0%
Uppercase Letter
ValueCountFrequency (%)
G 284807
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 854421
54.1%
Common 725546
45.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 145999
20.1%
2 106432
14.7%
3 78304
10.8%
4 72721
10.0%
5 63828
8.8%
6 57167
 
7.9%
8 55594
 
7.7%
7 50083
 
6.9%
0 49446
 
6.8%
9 45972
 
6.3%
Latin
ValueCountFrequency (%)
G 284807
33.3%
r 284807
33.3%
p 284807
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1579967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G 284807
18.0%
r 284807
18.0%
p 284807
18.0%
1 145999
9.2%
2 106432
 
6.7%
3 78304
 
5.0%
4 72721
 
4.6%
5 63828
 
4.0%
6 57167
 
3.6%
8 55594
 
3.5%
Other values (3) 145501
9.2%

Per1
Real number (ℝ)

Distinct1867
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666935
Minimum-18.136667
Maximum1.4833333
Zeros241
Zeros (%)0.1%
Negative26045
Negative (%)9.1%
Memory size4.3 MiB
2023-02-01T16:00:05.207469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-18.136667
5-th percentile-0.3
Q10.36
median0.67333333
Q31.1066667
95-th percentile1.36
Maximum1.4833333
Range19.62
Interquartile range (IQR)0.74666667

Descriptive statistics

Standard deviation0.65289864
Coefficient of variation (CV)0.97934403
Kurtosis32.487162
Mean0.66666935
Median Absolute Deviation (MAD)0.39666667
Skewness-3.2806903
Sum189872.1
Variance0.42627664
MonotonicityNot monotonic
2023-02-01T16:00:05.338417image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.353333333 2565
 
0.9%
1.35 2393
 
0.8%
1.346666667 2362
 
0.8%
1.08 2192
 
0.8%
1.066666667 2178
 
0.8%
1.086666667 2146
 
0.8%
1.063333333 2122
 
0.7%
1.343333333 2047
 
0.7%
1.356666667 2045
 
0.7%
1.06 2039
 
0.7%
Other values (1857) 262718
92.2%
ValueCountFrequency (%)
-18.13666667 1
< 0.1%
-14.95333333 1
< 0.1%
-13.31 1
< 0.1%
-12.82333333 1
< 0.1%
-12.68 1
< 0.1%
-11.85333333 1
< 0.1%
-11.68333333 1
< 0.1%
-11.6 1
< 0.1%
-11.50333333 1
< 0.1%
-11.30333333 1
< 0.1%
ValueCountFrequency (%)
1.483333333 3
 
< 0.1%
1.48 1
 
< 0.1%
1.476666667 1
 
< 0.1%
1.473333333 5
 
< 0.1%
1.47 7
 
< 0.1%
1.466666667 16
 
< 0.1%
1.463333333 22
 
< 0.1%
1.46 27
< 0.1%
1.456666667 48
< 0.1%
1.453333333 63
< 0.1%

Per2
Real number (ℝ)

Distinct2459
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6666661
Minimum-23.573333
Maximum8.02
Zeros123
Zeros (%)< 0.1%
Negative13810
Negative (%)4.8%
Memory size4.3 MiB
2023-02-01T16:00:05.481725image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-23.573333
5-th percentile0.01
Q10.46666667
median0.69
Q30.93333333
95-th percentile1.27
Maximum8.02
Range31.593333
Interquartile range (IQR)0.46666667

Descriptive statistics

Standard deviation0.55043972
Coefficient of variation (CV)0.82566027
Kurtosis95.768656
Mean0.6666661
Median Absolute Deviation (MAD)0.23333333
Skewness-4.6247194
Sum189871.17
Variance0.30298388
MonotonicityNot monotonic
2023-02-01T16:00:05.602502image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6533333333 1418
 
0.5%
0.6466666667 1376
 
0.5%
0.66 1374
 
0.5%
0.6433333333 1371
 
0.5%
0.6566666667 1362
 
0.5%
0.65 1344
 
0.5%
0.6633333333 1329
 
0.5%
0.6966666667 1321
 
0.5%
0.64 1320
 
0.5%
0.6166666667 1319
 
0.5%
Other values (2449) 271273
95.2%
ValueCountFrequency (%)
-23.57333333 1
< 0.1%
-20.44666667 1
< 0.1%
-19.48666667 1
< 0.1%
-16.12666667 1
< 0.1%
-15.35333333 1
< 0.1%
-15.14333333 1
< 0.1%
-14.53666667 1
< 0.1%
-14.21333333 1
< 0.1%
-13.39 1
< 0.1%
-12.99333333 1
< 0.1%
ValueCountFrequency (%)
8.02 1
 
< 0.1%
7.823333333 1
 
< 0.1%
7.056666667 1
 
< 0.1%
6.966666667 1
 
< 0.1%
6.726666667 1
 
< 0.1%
6.643333333 1
 
< 0.1%
6.473333333 1
 
< 0.1%
6.236666667 1
 
< 0.1%
6.233333333 1
 
< 0.1%
6.166666667 4
< 0.1%

Per3
Real number (ℝ)

Distinct1537
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666479
Minimum-15.443333
Maximum3.7933333
Zeros214
Zeros (%)0.1%
Negative22364
Negative (%)7.9%
Memory size4.3 MiB
2023-02-01T16:00:05.729002image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-15.443333
5-th percentile-0.13
Q10.37
median0.72666667
Q31.01
95-th percentile1.3533333
Maximum3.7933333
Range19.236667
Interquartile range (IQR)0.64

Descriptive statistics

Standard deviation0.50541834
Coefficient of variation (CV)0.75812963
Kurtosis26.620886
Mean0.66666479
Median Absolute Deviation (MAD)0.31333333
Skewness-2.240204
Sum189870.8
Variance0.25544769
MonotonicityNot monotonic
2023-02-01T16:00:05.845131image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.77 1166
 
0.4%
0.7666666667 1132
 
0.4%
0.76 1094
 
0.4%
0.7633333333 1068
 
0.4%
0.7566666667 991
 
0.3%
0.7266666667 986
 
0.3%
0.7233333333 981
 
0.3%
0.72 977
 
0.3%
0.7733333333 977
 
0.3%
0.7533333333 956
 
0.3%
Other values (1527) 274479
96.4%
ValueCountFrequency (%)
-15.44333333 1
 
< 0.1%
-10.56 1
 
< 0.1%
-10.32333333 1
 
< 0.1%
-10.15 1
 
< 0.1%
-9.936666667 1
 
< 0.1%
-9.7 1
 
< 0.1%
-9.52 1
 
< 0.1%
-9.393333333 4
< 0.1%
-9.336666667 1
 
< 0.1%
-9.156666667 1
 
< 0.1%
ValueCountFrequency (%)
3.793333333 1
< 0.1%
2.076666667 1
< 0.1%
2.063333333 1
< 0.1%
2.033333333 1
< 0.1%
2.026666667 1
< 0.1%
2.023333333 1
< 0.1%
2.013333333 1
< 0.1%
2.01 1
< 0.1%
2.006666667 1
< 0.1%
1.996666667 1
< 0.1%

Per4
Real number (ℝ)

Distinct1330
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666598
Minimum-1.2266667
Maximum6.2933333
Zeros210
Zeros (%)0.1%
Negative17816
Negative (%)6.3%
Memory size4.3 MiB
2023-02-01T16:00:05.982247image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1.2266667
5-th percentile-0.066666667
Q10.38333333
median0.66
Q30.91333333
95-th percentile1.5233333
Maximum6.2933333
Range7.52
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation0.47195733
Coefficient of variation (CV)0.70793673
Kurtosis2.6355378
Mean0.66666598
Median Absolute Deviation (MAD)0.26666667
Skewness0.6763116
Sum189871.14
Variance0.22274373
MonotonicityNot monotonic
2023-02-01T16:00:06.103232image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8066666667 1280
 
0.4%
0.8033333333 1274
 
0.4%
0.8333333333 1251
 
0.4%
0.78 1232
 
0.4%
0.4733333333 1200
 
0.4%
0.48 1199
 
0.4%
0.74 1190
 
0.4%
0.46 1180
 
0.4%
0.4766666667 1167
 
0.4%
0.47 1163
 
0.4%
Other values (1320) 272671
95.7%
ValueCountFrequency (%)
-1.226666667 1
< 0.1%
-1.2 1
< 0.1%
-1.186666667 1
< 0.1%
-1.173333333 1
< 0.1%
-1.14 1
< 0.1%
-1.133333333 1
< 0.1%
-1.09 1
< 0.1%
-1.086666667 1
< 0.1%
-1.083333333 1
< 0.1%
-1.076666667 1
< 0.1%
ValueCountFrequency (%)
6.293333333 1
< 0.1%
6.24 1
< 0.1%
6.163333333 1
< 0.1%
5.766666667 1
< 0.1%
5.046666667 1
< 0.1%
5.043333333 1
< 0.1%
4.9 1
< 0.1%
4.89 1
< 0.1%
4.72 1
< 0.1%
4.71 1
< 0.1%

Per5
Real number (ℝ)

Distinct2014
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666712
Minimum-37.246667
Maximum12.266667
Zeros135
Zeros (%)< 0.1%
Negative8467
Negative (%)3.0%
Memory size4.3 MiB
2023-02-01T16:00:06.230054image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-37.246667
5-th percentile0.1
Q10.43666667
median0.65
Q30.87
95-th percentile1.3666667
Maximum12.266667
Range49.513333
Interquartile range (IQR)0.43333333

Descriptive statistics

Standard deviation0.46008658
Coefficient of variation (CV)0.69012939
Kurtosis206.88106
Mean0.66666712
Median Absolute Deviation (MAD)0.21666667
Skewness-2.4257016
Sum189871.46
Variance0.21167966
MonotonicityNot monotonic
2023-02-01T16:00:06.352702image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.64 1291
 
0.5%
0.6166666667 1268
 
0.4%
0.6366666667 1258
 
0.4%
0.6133333333 1257
 
0.4%
0.5933333333 1253
 
0.4%
0.6733333333 1248
 
0.4%
0.6333333333 1244
 
0.4%
0.6433333333 1240
 
0.4%
0.6933333333 1239
 
0.4%
0.66 1228
 
0.4%
Other values (2004) 272281
95.6%
ValueCountFrequency (%)
-37.24666667 1
< 0.1%
-13.38333333 1
< 0.1%
-12.81 1
< 0.1%
-11.06 1
< 0.1%
-10.03 1
< 0.1%
-9.786666667 1
< 0.1%
-9.243333333 1
< 0.1%
-8.94 1
< 0.1%
-8.786666667 1
< 0.1%
-8.583333333 1
< 0.1%
ValueCountFrequency (%)
12.26666667 1
< 0.1%
12.03333333 1
< 0.1%
11.63666667 1
< 0.1%
11.15333333 1
< 0.1%
10.38666667 1
< 0.1%
10.34 1
< 0.1%
10.25333333 1
< 0.1%
10.17333333 1
< 0.1%
9.55 1
< 0.1%
9.2 1
< 0.1%

Per6
Real number (ℝ)

Distinct1568
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666627
Minimum-8.0533333
Maximum25.1
Zeros77
Zeros (%)< 0.1%
Negative3478
Negative (%)1.2%
Memory size4.3 MiB
2023-02-01T16:00:06.472165image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-8.0533333
5-th percentile0.19666667
Q10.41
median0.57666667
Q30.8
95-th percentile1.72
Maximum25.1
Range33.153333
Interquartile range (IQR)0.39

Descriptive statistics

Standard deviation0.44408877
Coefficient of variation (CV)0.66613355
Kurtosis42.640501
Mean0.66666627
Median Absolute Deviation (MAD)0.18666667
Skewness1.8265121
Sum189871.22
Variance0.19721483
MonotonicityNot monotonic
2023-02-01T16:00:06.589381image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4666666667 1649
 
0.6%
0.4733333333 1617
 
0.6%
0.4933333333 1595
 
0.6%
0.47 1586
 
0.6%
0.4633333333 1581
 
0.6%
0.4766666667 1576
 
0.6%
0.48 1575
 
0.6%
0.4966666667 1574
 
0.6%
0.4866666667 1555
 
0.5%
0.4333333333 1522
 
0.5%
Other values (1558) 268977
94.4%
ValueCountFrequency (%)
-8.053333333 1
< 0.1%
-7.166666667 1
< 0.1%
-6.643333333 1
< 0.1%
-6.416666667 1
< 0.1%
-6.29 1
< 0.1%
-6.123333333 1
< 0.1%
-6.016666667 1
< 0.1%
-6 1
< 0.1%
-5.31 1
< 0.1%
-5.19 1
< 0.1%
ValueCountFrequency (%)
25.1 1
< 0.1%
8.64 1
< 0.1%
8.176666667 1
< 0.1%
7.85 1
< 0.1%
7.796666667 1
< 0.1%
7.77 1
< 0.1%
7.73 1
< 0.1%
7.46 1
< 0.1%
6.69 1
< 0.1%
6.34 1
< 0.1%

Per7
Real number (ℝ)

Distinct2022
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6666674
Minimum-13.853333
Maximum40.863333
Zeros78
Zeros (%)< 0.1%
Negative6079
Negative (%)2.1%
Memory size4.3 MiB
2023-02-01T16:00:06.721739image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-13.853333
5-th percentile0.19
Q10.48333333
median0.68
Q30.85666667
95-th percentile1.1366667
Maximum40.863333
Range54.716667
Interquartile range (IQR)0.37333333

Descriptive statistics

Standard deviation0.41236561
Coefficient of variation (CV)0.61854773
Kurtosis405.61194
Mean0.6666674
Median Absolute Deviation (MAD)0.18666667
Skewness2.5538866
Sum189871.54
Variance0.17004539
MonotonicityNot monotonic
2023-02-01T16:00:06.835962image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.69 1773
 
0.6%
0.6966666667 1765
 
0.6%
0.6866666667 1746
 
0.6%
0.7033333333 1743
 
0.6%
0.6933333333 1704
 
0.6%
0.7 1687
 
0.6%
0.67 1685
 
0.6%
0.6833333333 1685
 
0.6%
0.7066666667 1680
 
0.6%
0.71 1651
 
0.6%
Other values (2012) 267688
94.0%
ValueCountFrequency (%)
-13.85333333 1
 
< 0.1%
-13.17 1
 
< 0.1%
-11.68666667 1
 
< 0.1%
-10.41333333 1
 
< 0.1%
-9.92 1
 
< 0.1%
-9.733333333 4
< 0.1%
-8.74 1
 
< 0.1%
-8.67 1
 
< 0.1%
-8.183333333 1
 
< 0.1%
-7.473333333 1
 
< 0.1%
ValueCountFrequency (%)
40.86333333 1
< 0.1%
15.35 1
< 0.1%
12.96 1
< 0.1%
12.89333333 1
< 0.1%
12.1 1
< 0.1%
11.17666667 1
< 0.1%
10.96666667 1
< 0.1%
10.40333333 1
< 0.1%
10.16666667 1
< 0.1%
10.08 1
< 0.1%

Per8
Real number (ℝ)

Distinct2171
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6666641
Minimum-23.74
Maximum7.3366667
Zeros24
Zeros (%)< 0.1%
Negative7394
Negative (%)2.6%
Memory size4.3 MiB
2023-02-01T16:00:06.963010image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-23.74
5-th percentile0.38666667
Q10.59666667
median0.67333333
Q30.77666667
95-th percentile1.0166667
Maximum7.3366667
Range31.076667
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.39811879
Coefficient of variation (CV)0.59718049
Kurtosis220.57945
Mean0.6666641
Median Absolute Deviation (MAD)0.086666667
Skewness-8.5215548
Sum189870.6
Variance0.15849857
MonotonicityNot monotonic
2023-02-01T16:00:07.078497image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6533333333 3356
 
1.2%
0.6466666667 3338
 
1.2%
0.66 3280
 
1.2%
0.64 3270
 
1.1%
0.6633333333 3248
 
1.1%
0.6433333333 3234
 
1.1%
0.6366666667 3225
 
1.1%
0.65 3210
 
1.1%
0.6566666667 3199
 
1.1%
0.67 3181
 
1.1%
Other values (2161) 252266
88.6%
ValueCountFrequency (%)
-23.74 1
< 0.1%
-16.31333333 1
< 0.1%
-16.23 1
< 0.1%
-16.14 1
< 0.1%
-13.16 1
< 0.1%
-13.01333333 1
< 0.1%
-12.56333333 1
< 0.1%
-12.42333333 1
< 0.1%
-12.33 1
< 0.1%
-12.25 1
< 0.1%
ValueCountFrequency (%)
7.336666667 1
< 0.1%
7.196666667 1
< 0.1%
7.056666667 1
< 0.1%
6.916666667 1
< 0.1%
6.903333333 1
< 0.1%
6.776666667 1
< 0.1%
6.76 1
< 0.1%
6.646666667 1
< 0.1%
6.633333333 1
< 0.1%
6.523333333 1
< 0.1%

Per9
Real number (ℝ)

Distinct1239
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666752
Minimum-3.81
Maximum5.8633333
Zeros191
Zeros (%)0.1%
Negative8888
Negative (%)3.1%
Memory size4.3 MiB
2023-02-01T16:00:07.209073image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-3.81
5-th percentile0.08
Q10.45333333
median0.65
Q30.86666667
95-th percentile1.26
Maximum5.8633333
Range9.6733333
Interquartile range (IQR)0.41333333

Descriptive statistics

Standard deviation0.36620728
Coefficient of variation (CV)0.54931022
Kurtosis3.7310954
Mean0.66666752
Median Absolute Deviation (MAD)0.20666667
Skewness0.55467413
Sum189871.58
Variance0.13410777
MonotonicityNot monotonic
2023-02-01T16:00:07.337302image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.65 1554
 
0.5%
0.6333333333 1529
 
0.5%
0.6166666667 1479
 
0.5%
0.6133333333 1456
 
0.5%
0.6366666667 1455
 
0.5%
0.6533333333 1433
 
0.5%
0.64 1420
 
0.5%
0.61 1404
 
0.5%
0.6266666667 1404
 
0.5%
0.6233333333 1403
 
0.5%
Other values (1229) 270270
94.9%
ValueCountFrequency (%)
-3.81 1
 
< 0.1%
-3.773333333 1
 
< 0.1%
-3.043333333 1
 
< 0.1%
-2.946666667 1
 
< 0.1%
-2.493333333 1
 
< 0.1%
-2.486666667 4
< 0.1%
-2.426666667 1
 
< 0.1%
-2.32 1
 
< 0.1%
-2.246666667 1
 
< 0.1%
-2.21 1
 
< 0.1%
ValueCountFrequency (%)
5.863333333 1
< 0.1%
4.13 1
< 0.1%
4.123333333 1
< 0.1%
4.116666667 1
< 0.1%
4.11 1
< 0.1%
4.103333333 1
< 0.1%
3.756666667 1
< 0.1%
3.743333333 1
< 0.1%
3.736666667 1
< 0.1%
3.71 1
< 0.1%

Dem1
Real number (ℝ)

Distinct953
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666422
Minimum-0.93333333
Maximum4.6733333
Zeros113
Zeros (%)< 0.1%
Negative3798
Negative (%)1.3%
Memory size4.3 MiB
2023-02-01T16:00:07.466893image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.93333333
5-th percentile0.14333333
Q10.41333333
median0.65666667
Q30.91333333
95-th percentile1.2033333
Maximum4.6733333
Range5.6066667
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.34023933
Coefficient of variation (CV)0.51036087
Kurtosis1.6341864
Mean0.66666422
Median Absolute Deviation (MAD)0.25
Skewness0.35649166
Sum189870.64
Variance0.1157628
MonotonicityNot monotonic
2023-02-01T16:00:07.578116image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6866666667 1235
 
0.4%
0.4866666667 1223
 
0.4%
0.6133333333 1174
 
0.4%
0.4766666667 1157
 
0.4%
0.5933333333 1156
 
0.4%
0.5866666667 1100
 
0.4%
0.7766666667 1090
 
0.4%
0.64 1086
 
0.4%
0.6666666667 1072
 
0.4%
0.6066666667 1057
 
0.4%
Other values (943) 273457
96.0%
ValueCountFrequency (%)
-0.9333333333 1
 
< 0.1%
-0.8933333333 1
 
< 0.1%
-0.8566666667 1
 
< 0.1%
-0.8166666667 1
 
< 0.1%
-0.78 1
 
< 0.1%
-0.74 1
 
< 0.1%
-0.7033333333 2
< 0.1%
-0.6833333333 2
< 0.1%
-0.6766666667 2
< 0.1%
-0.67 4
< 0.1%
ValueCountFrequency (%)
4.673333333 1
< 0.1%
4.556666667 1
< 0.1%
4.54 1
< 0.1%
4.426666667 1
< 0.1%
4.41 1
< 0.1%
4.383333333 1
< 0.1%
4.343333333 1
< 0.1%
4.283333333 1
< 0.1%
4.183333333 1
< 0.1%
4.15 1
< 0.1%

Dem2
Real number (ℝ)

Distinct770
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666953
Minimum-1.2633333
Maximum3.0433333
Zeros160
Zeros (%)0.1%
Negative5971
Negative (%)2.1%
Memory size4.3 MiB
2023-02-01T16:00:07.703587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1.2633333
5-th percentile0.12
Q10.45
median0.66333333
Q30.88666667
95-th percentile1.2033333
Maximum3.0433333
Range4.3066667
Interquartile range (IQR)0.43666667

Descriptive statistics

Standard deviation0.3317598
Coefficient of variation (CV)0.49763756
Kurtosis0.19532864
Mean0.66666953
Median Absolute Deviation (MAD)0.22
Skewness0.065227797
Sum189872.15
Variance0.11006456
MonotonicityNot monotonic
2023-02-01T16:00:07.817104image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.65 1420
 
0.5%
0.62 1405
 
0.5%
0.5966666667 1388
 
0.5%
0.6666666667 1349
 
0.5%
0.67 1337
 
0.5%
0.68 1336
 
0.5%
0.66 1327
 
0.5%
0.5933333333 1307
 
0.5%
0.6433333333 1290
 
0.5%
0.6566666667 1288
 
0.5%
Other values (760) 271360
95.3%
ValueCountFrequency (%)
-1.263333333 1
< 0.1%
-0.67 1
< 0.1%
-0.6533333333 1
< 0.1%
-0.63 1
< 0.1%
-0.6266666667 1
< 0.1%
-0.6166666667 1
< 0.1%
-0.6133333333 2
< 0.1%
-0.6066666667 1
< 0.1%
-0.6033333333 1
< 0.1%
-0.5966666667 2
< 0.1%
ValueCountFrequency (%)
3.043333333 1
< 0.1%
2.19 1
< 0.1%
2.156666667 2
< 0.1%
2.123333333 1
< 0.1%
2.106666667 1
< 0.1%
2.086666667 1
< 0.1%
2.033333333 1
< 0.1%
2.013333333 1
< 0.1%
1.983333333 1
< 0.1%
1.966666667 1
< 0.1%

Dem3
Real number (ℝ)

Distinct757
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666735
Minimum-0.83333333
Maximum3.6266667
Zeros127
Zeros (%)< 0.1%
Negative6710
Negative (%)2.4%
Memory size4.3 MiB
2023-02-01T16:00:07.945860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.83333333
5-th percentile0.13666667
Q10.47333333
median0.68333333
Q30.88333333
95-th percentile1.1233333
Maximum3.6266667
Range4.46
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.30510743
Coefficient of variation (CV)0.45766067
Kurtosis0.28470602
Mean0.66666735
Median Absolute Deviation (MAD)0.20666667
Skewness-0.30838126
Sum189871.53
Variance0.093090542
MonotonicityNot monotonic
2023-02-01T16:00:08.069611image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6966666667 1378
 
0.5%
0.67 1333
 
0.5%
0.7233333333 1330
 
0.5%
0.7533333333 1330
 
0.5%
0.7366666667 1319
 
0.5%
0.6166666667 1314
 
0.5%
0.7566666667 1313
 
0.5%
0.72 1310
 
0.5%
0.68 1294
 
0.5%
0.7133333333 1288
 
0.5%
Other values (747) 271598
95.4%
ValueCountFrequency (%)
-0.8333333333 1
< 0.1%
-0.7966666667 1
< 0.1%
-0.7333333333 2
< 0.1%
-0.7166666667 1
< 0.1%
-0.7 1
< 0.1%
-0.6966666667 1
< 0.1%
-0.6766666667 1
< 0.1%
-0.67 1
< 0.1%
-0.6466666667 1
< 0.1%
-0.64 2
< 0.1%
ValueCountFrequency (%)
3.626666667 1
< 0.1%
2.61 1
< 0.1%
2.593333333 1
< 0.1%
2.573333333 1
< 0.1%
2.563333333 1
< 0.1%
2.556666667 1
< 0.1%
2.5 1
< 0.1%
2.376666667 1
< 0.1%
2.323333333 1
< 0.1%
2.286666667 1
< 0.1%

Dem4
Real number (ℝ)

Distinct1034
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666475
Minimum-4.0433333
Maximum6.44
Zeros108
Zeros (%)< 0.1%
Negative5969
Negative (%)2.1%
Memory size4.3 MiB
2023-02-01T16:00:08.193719image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-4.0433333
5-th percentile0.17
Q10.51
median0.69
Q30.84
95-th percentile1.11
Maximum6.44
Range10.483333
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.29208658
Coefficient of variation (CV)0.43813112
Kurtosis10.419884
Mean0.66666475
Median Absolute Deviation (MAD)0.16333333
Skewness-1.1009925
Sum189870.79
Variance0.085314568
MonotonicityNot monotonic
2023-02-01T16:00:08.318382image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7266666667 1793
 
0.6%
0.7333333333 1677
 
0.6%
0.72 1677
 
0.6%
0.74 1668
 
0.6%
0.78 1658
 
0.6%
0.7233333333 1641
 
0.6%
0.79 1637
 
0.6%
0.73 1636
 
0.6%
0.7033333333 1635
 
0.6%
0.7166666667 1634
 
0.6%
Other values (1024) 268151
94.2%
ValueCountFrequency (%)
-4.043333333 1
< 0.1%
-3.853333333 1
< 0.1%
-3.766666667 1
< 0.1%
-3.753333333 1
< 0.1%
-3.75 1
< 0.1%
-3.56 1
< 0.1%
-3.553333333 2
< 0.1%
-3.483333333 1
< 0.1%
-3.476666667 2
< 0.1%
-3.463333333 1
< 0.1%
ValueCountFrequency (%)
6.44 1
< 0.1%
3.43 1
< 0.1%
3.02 1
< 0.1%
2.813333333 1
< 0.1%
2.783333333 1
< 0.1%
2.7 1
< 0.1%
2.666666667 1
< 0.1%
2.573333333 1
< 0.1%
2.533333333 1
< 0.1%
2.52 1
< 0.1%

Dem5
Real number (ℝ)

Distinct867
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666478
Minimum-2.5
Maximum2.3466667
Zeros94
Zeros (%)< 0.1%
Negative3931
Negative (%)1.4%
Memory size4.3 MiB
2023-02-01T16:00:08.439442image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-2.5
5-th percentile0.21333333
Q10.5
median0.66666667
Q30.83333333
95-th percentile1.13
Maximum2.3466667
Range4.8466667
Interquartile range (IQR)0.33333333

Descriptive statistics

Standard deviation0.27939305
Coefficient of variation (CV)0.41909076
Kurtosis2.5781841
Mean0.66666478
Median Absolute Deviation (MAD)0.16666667
Skewness-0.25990508
Sum189870.8
Variance0.078060476
MonotonicityNot monotonic
2023-02-01T16:00:08.557068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6433333333 1695
 
0.6%
0.64 1676
 
0.6%
0.6266666667 1672
 
0.6%
0.65 1656
 
0.6%
0.6733333333 1651
 
0.6%
0.7 1638
 
0.6%
0.6866666667 1604
 
0.6%
0.7133333333 1597
 
0.6%
0.6233333333 1592
 
0.6%
0.63 1591
 
0.6%
Other values (857) 268435
94.3%
ValueCountFrequency (%)
-2.5 1
< 0.1%
-2.446666667 1
< 0.1%
-2.43 1
< 0.1%
-2.42 1
< 0.1%
-2.39 1
< 0.1%
-2.363333333 1
< 0.1%
-2.346666667 1
< 0.1%
-2.286666667 1
< 0.1%
-2.276666667 1
< 0.1%
-2.223333333 1
< 0.1%
ValueCountFrequency (%)
2.346666667 1
< 0.1%
2.236666667 1
< 0.1%
2.1 1
< 0.1%
2.08 1
< 0.1%
2.066666667 1
< 0.1%
2.04 1
< 0.1%
2.03 1
< 0.1%
2.026666667 1
< 0.1%
2.023333333 1
< 0.1%
2.016666667 2
< 0.1%

Dem6
Real number (ℝ)

Distinct836
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666373
Minimum-1.7366667
Maximum2.53
Zeros77
Zeros (%)< 0.1%
Negative3334
Negative (%)1.2%
Memory size4.3 MiB
2023-02-01T16:00:08.680274image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7366667
5-th percentile0.21333333
Q10.51333333
median0.66666667
Q30.82
95-th percentile1.0966667
Maximum2.53
Range4.2666667
Interquartile range (IQR)0.30666667

Descriptive statistics

Standard deviation0.27134538
Coefficient of variation (CV)0.40701986
Kurtosis1.7250239
Mean0.66666373
Median Absolute Deviation (MAD)0.15333333
Skewness0.10915468
Sum189870.5
Variance0.073628315
MonotonicityNot monotonic
2023-02-01T16:00:08.792288image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7333333333 2040
 
0.7%
0.6733333333 2037
 
0.7%
0.6366666667 1999
 
0.7%
0.69 1990
 
0.7%
0.6 1948
 
0.7%
0.6033333333 1911
 
0.7%
0.67 1899
 
0.7%
0.6133333333 1869
 
0.7%
0.6166666667 1859
 
0.7%
0.6933333333 1844
 
0.6%
Other values (826) 265411
93.2%
ValueCountFrequency (%)
-1.736666667 1
< 0.1%
-1.646666667 1
< 0.1%
-0.9766666667 1
< 0.1%
-0.8933333333 1
< 0.1%
-0.8733333333 1
< 0.1%
-0.86 1
< 0.1%
-0.8466666667 1
< 0.1%
-0.8066666667 1
< 0.1%
-0.8 1
< 0.1%
-0.7966666667 1
< 0.1%
ValueCountFrequency (%)
2.53 1
< 0.1%
2.523333333 1
< 0.1%
2.5 1
< 0.1%
2.41 1
< 0.1%
2.296666667 1
< 0.1%
2.283333333 1
< 0.1%
2.266666667 1
< 0.1%
2.243333333 1
< 0.1%
2.24 1
< 0.1%
2.233333333 1
< 0.1%

Dem7
Real number (ℝ)

Distinct1619
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666919
Minimum-17.5
Maximum13.806667
Zeros14
Zeros (%)< 0.1%
Negative1945
Negative (%)0.7%
Memory size4.3 MiB
2023-02-01T16:00:08.909457image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-17.5
5-th percentile0.48
Q10.59666667
median0.64666667
Q30.71
95-th percentile0.94666667
Maximum13.806667
Range31.306667
Interquartile range (IQR)0.11333333

Descriptive statistics

Standard deviation0.25697738
Coefficient of variation (CV)0.38546462
Kurtosis271.02507
Mean0.66666919
Median Absolute Deviation (MAD)0.056666667
Skewness-2.0371867
Sum189872.05
Variance0.066037376
MonotonicityNot monotonic
2023-02-01T16:00:09.028638image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6266666667 5196
 
1.8%
0.6233333333 5045
 
1.8%
0.62 4989
 
1.8%
0.63 4972
 
1.7%
0.6333333333 4944
 
1.7%
0.6166666667 4908
 
1.7%
0.6366666667 4907
 
1.7%
0.61 4829
 
1.7%
0.6133333333 4828
 
1.7%
0.6433333333 4745
 
1.7%
Other values (1609) 235444
82.7%
ValueCountFrequency (%)
-17.5 1
< 0.1%
-8.67 1
< 0.1%
-7.74 1
< 0.1%
-7.216666667 1
< 0.1%
-7.14 1
< 0.1%
-6.946666667 1
< 0.1%
-6.653333333 1
< 0.1%
-6.51 1
< 0.1%
-6.463333333 1
< 0.1%
-6.343333333 1
< 0.1%
ValueCountFrequency (%)
13.80666667 1
< 0.1%
13.37333333 1
< 0.1%
9.413333333 1
< 0.1%
8.71 1
< 0.1%
8.55 1
< 0.1%
8.546666667 1
< 0.1%
7.25 1
< 0.1%
6.63 1
< 0.1%
6.606666667 1
< 0.1%
6.426666667 1
< 0.1%

Dem8
Real number (ℝ)

Distinct1638
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6666675
Minimum-10.943333
Maximum9.7333333
Zeros9
Zeros (%)< 0.1%
Negative1773
Negative (%)0.6%
Memory size4.3 MiB
2023-02-01T16:00:09.163064image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-10.943333
5-th percentile0.5
Q10.59
median0.65666667
Q30.73
95-th percentile0.84666667
Maximum9.7333333
Range20.676667
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.24484123
Coefficient of variation (CV)0.36726139
Kurtosis207.27338
Mean0.6666675
Median Absolute Deviation (MAD)0.07
Skewness3.5929487
Sum189871.57
Variance0.059947229
MonotonicityNot monotonic
2023-02-01T16:00:09.283074image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.58 4073
 
1.4%
0.6533333333 3871
 
1.4%
0.6566666667 3832
 
1.3%
0.5766666667 3806
 
1.3%
0.6466666667 3787
 
1.3%
0.65 3723
 
1.3%
0.64 3706
 
1.3%
0.66 3693
 
1.3%
0.6366666667 3687
 
1.3%
0.6266666667 3687
 
1.3%
Other values (1628) 246942
86.7%
ValueCountFrequency (%)
-10.94333333 1
< 0.1%
-6.963333333 1
< 0.1%
-6.933333333 1
< 0.1%
-6.92 1
< 0.1%
-6.89 1
< 0.1%
-6.54 1
< 0.1%
-6.483333333 1
< 0.1%
-6.086666667 1
< 0.1%
-5.543333333 1
< 0.1%
-5.533333333 1
< 0.1%
ValueCountFrequency (%)
9.733333333 6
< 0.1%
8.203333333 1
 
< 0.1%
8.2 1
 
< 0.1%
8.196666667 1
 
< 0.1%
8.193333333 2
 
< 0.1%
8.19 1
 
< 0.1%
7.966666667 1
 
< 0.1%
7.353333333 1
 
< 0.1%
7.11 2
 
< 0.1%
7.103333333 1
 
< 0.1%

Dem9
Real number (ℝ)

Distinct851
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666821
Minimum-2.9766667
Maximum4.1666667
Zeros29
Zeros (%)< 0.1%
Negative1290
Negative (%)0.5%
Memory size4.3 MiB
2023-02-01T16:00:09.411234image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-2.9766667
5-th percentile0.30666667
Q10.48666667
median0.67
Q30.84333333
95-th percentile1.0433333
Maximum4.1666667
Range7.1433333
Interquartile range (IQR)0.35666667

Descriptive statistics

Standard deviation0.24190447
Coefficient of variation (CV)0.36285587
Kurtosis2.833175
Mean0.66666821
Median Absolute Deviation (MAD)0.18
Skewness-0.21331342
Sum189871.77
Variance0.058517774
MonotonicityNot monotonic
2023-02-01T16:00:09.532327image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6933333333 1574
 
0.6%
0.7 1559
 
0.5%
0.7066666667 1558
 
0.5%
0.67 1550
 
0.5%
0.47 1537
 
0.5%
0.6666666667 1516
 
0.5%
0.6966666667 1509
 
0.5%
0.6633333333 1507
 
0.5%
0.66 1492
 
0.5%
0.4533333333 1489
 
0.5%
Other values (841) 269516
94.6%
ValueCountFrequency (%)
-2.976666667 1
 
< 0.1%
-2.5 1
 
< 0.1%
-2.296666667 6
< 0.1%
-2.196666667 1
 
< 0.1%
-2.186666667 1
 
< 0.1%
-2.176666667 1
 
< 0.1%
-2.16 1
 
< 0.1%
-2.15 1
 
< 0.1%
-2.14 1
 
< 0.1%
-2.083333333 1
 
< 0.1%
ValueCountFrequency (%)
4.166666667 1
< 0.1%
3.453333333 1
< 0.1%
3.44 1
< 0.1%
3.423333333 1
< 0.1%
3.12 1
< 0.1%
3.083333333 1
< 0.1%
3.073333333 1
< 0.1%
3.02 1
< 0.1%
2.93 1
< 0.1%
2.696666667 1
< 0.1%

Cred1
Real number (ℝ)

Distinct1415
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666574
Minimum-14.27
Maximum8.1766667
Zeros9
Zeros (%)< 0.1%
Negative1305
Negative (%)0.5%
Memory size4.3 MiB
2023-02-01T16:00:09.660702image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-14.27
5-th percentile0.51
Q10.61333333
median0.66333333
Q30.71666667
95-th percentile0.83
Maximum8.1766667
Range22.446667
Interquartile range (IQR)0.10333333

Descriptive statistics

Standard deviation0.20815832
Coefficient of variation (CV)0.31223792
Kurtosis440.10288
Mean0.66666574
Median Absolute Deviation (MAD)0.05
Skewness-5.8754507
Sum189871.07
Variance0.043329888
MonotonicityNot monotonic
2023-02-01T16:00:10.571159image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6633333333 5485
 
1.9%
0.6533333333 5364
 
1.9%
0.66 5327
 
1.9%
0.67 5276
 
1.9%
0.6566666667 5275
 
1.9%
0.65 5242
 
1.8%
0.6666666667 5194
 
1.8%
0.6466666667 5145
 
1.8%
0.6733333333 5119
 
1.8%
0.6433333333 5082
 
1.8%
Other values (1405) 232298
81.6%
ValueCountFrequency (%)
-14.27 1
< 0.1%
-11.55666667 1
< 0.1%
-10.27666667 1
< 0.1%
-9.423333333 1
< 0.1%
-8.51 1
< 0.1%
-8.406666667 1
< 0.1%
-8.25 1
< 0.1%
-8.143333333 1
< 0.1%
-7.786666667 1
< 0.1%
-7.073333333 1
< 0.1%
ValueCountFrequency (%)
8.176666667 1
< 0.1%
8.026666667 1
< 0.1%
7.6 1
< 0.1%
7.076666667 1
< 0.1%
7 1
< 0.1%
6.983333333 1
< 0.1%
6.786666667 1
< 0.1%
6.59 1
< 0.1%
6.583333333 1
< 0.1%
6.536666667 1
< 0.1%

Cred2
Real number (ℝ)

Distinct507
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666806
Minimum-0.28
Maximum2.1933333
Zeros10
Zeros (%)< 0.1%
Negative282
Negative (%)0.1%
Memory size4.3 MiB
2023-02-01T16:00:10.693212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.28
5-th percentile0.28666667
Q10.55
median0.68
Q30.81333333
95-th percentile0.95666667
Maximum2.1933333
Range2.4733333
Interquartile range (IQR)0.26333333

Descriptive statistics

Standard deviation0.20188452
Coefficient of variation (CV)0.30282615
Kurtosis0.61876027
Mean0.66666806
Median Absolute Deviation (MAD)0.13333333
Skewness-0.55253961
Sum189871.73
Variance0.04075736
MonotonicityNot monotonic
2023-02-01T16:00:10.812710image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.68 3670
 
1.3%
0.6733333333 3601
 
1.3%
0.6766666667 3551
 
1.2%
0.67 3535
 
1.2%
0.6833333333 3479
 
1.2%
0.6666666667 3418
 
1.2%
0.6866666667 3305
 
1.2%
0.6633333333 3202
 
1.1%
0.69 3030
 
1.1%
0.66 3025
 
1.1%
Other values (497) 250991
88.1%
ValueCountFrequency (%)
-0.28 1
 
< 0.1%
-0.2733333333 3
< 0.1%
-0.27 2
< 0.1%
-0.2633333333 2
< 0.1%
-0.26 2
< 0.1%
-0.2566666667 2
< 0.1%
-0.2533333333 2
< 0.1%
-0.25 3
< 0.1%
-0.2466666667 3
< 0.1%
-0.2433333333 3
< 0.1%
ValueCountFrequency (%)
2.193333333 1
 
< 0.1%
2.006666667 2
< 0.1%
2.003333333 1
 
< 0.1%
2 1
 
< 0.1%
1.996666667 1
 
< 0.1%
1.993333333 1
 
< 0.1%
1.986666667 2
< 0.1%
1.983333333 3
< 0.1%
1.98 1
 
< 0.1%
1.976666667 1
 
< 0.1%

Cred3
Real number (ℝ)

Distinct655
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666595
Minimum-2.7666667
Maximum3.1733333
Zeros10
Zeros (%)< 0.1%
Negative808
Negative (%)0.3%
Memory size4.3 MiB
2023-02-01T16:00:10.930393image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-2.7666667
5-th percentile0.39
Q10.56
median0.67333333
Q30.78333333
95-th percentile0.92
Maximum3.1733333
Range5.94
Interquartile range (IQR)0.22333333

Descriptive statistics

Standard deviation0.17376491
Coefficient of variation (CV)0.26064764
Kurtosis4.2923949
Mean0.66666595
Median Absolute Deviation (MAD)0.11
Skewness-0.41594797
Sum189871.13
Variance0.030194243
MonotonicityNot monotonic
2023-02-01T16:00:11.044944image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.57 2555
 
0.9%
0.5766666667 2533
 
0.9%
0.58 2474
 
0.9%
0.79 2414
 
0.8%
0.75 2397
 
0.8%
0.5666666667 2383
 
0.8%
0.5733333333 2362
 
0.8%
0.5866666667 2346
 
0.8%
0.7466666667 2343
 
0.8%
0.7433333333 2337
 
0.8%
Other values (645) 260663
91.5%
ValueCountFrequency (%)
-2.766666667 1
< 0.1%
-2.233333333 1
< 0.1%
-1.833333333 1
< 0.1%
-1.693333333 1
< 0.1%
-1.676666667 1
< 0.1%
-1.57 1
< 0.1%
-1.476666667 1
< 0.1%
-1.346666667 1
< 0.1%
-1.263333333 2
< 0.1%
-0.9766666667 1
< 0.1%
ValueCountFrequency (%)
3.173333333 1
< 0.1%
2.69 1
< 0.1%
2.616666667 1
< 0.1%
2.61 1
< 0.1%
2.513333333 1
< 0.1%
2.51 1
< 0.1%
2.506666667 1
< 0.1%
2.49 1
< 0.1%
2.46 1
< 0.1%
2.293333333 1
< 0.1%

Cred4
Real number (ℝ)

Distinct470
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666746
Minimum-0.2
Maximum1.84
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)< 0.1%
Memory size4.3 MiB
2023-02-01T16:00:11.171147image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-0.2
5-th percentile0.43333333
Q10.55666667
median0.65
Q30.74666667
95-th percentile0.97333333
Maximum1.84
Range2.04
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.16074502
Coefficient of variation (CV)0.24111725
Kurtosis0.91862884
Mean0.66666746
Median Absolute Deviation (MAD)0.093333333
Skewness0.57660471
Sum189871.56
Variance0.025838963
MonotonicityNot monotonic
2023-02-01T16:00:11.298417image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 4184
 
1.5%
0.6966666667 3730
 
1.3%
0.69 3549
 
1.2%
0.7133333333 3438
 
1.2%
0.7166666667 3362
 
1.2%
0.7033333333 3231
 
1.1%
0.6933333333 3219
 
1.1%
0.6333333333 3194
 
1.1%
0.7066666667 3160
 
1.1%
0.5566666667 3080
 
1.1%
Other values (460) 250660
88.0%
ValueCountFrequency (%)
-0.2 1
 
< 0.1%
-0.1766666667 1
 
< 0.1%
-0.08 1
 
< 0.1%
-0.02333333333 1
 
< 0.1%
0.04666666667 1
 
< 0.1%
0.07333333333 1
 
< 0.1%
0.07666666667 1
 
< 0.1%
0.09 3
< 0.1%
0.09333333333 1
 
< 0.1%
0.1 1
 
< 0.1%
ValueCountFrequency (%)
1.84 1
 
< 0.1%
1.82 1
 
< 0.1%
1.806666667 1
 
< 0.1%
1.74 1
 
< 0.1%
1.72 1
 
< 0.1%
1.706666667 4
< 0.1%
1.696666667 1
 
< 0.1%
1.693333333 1
 
< 0.1%
1.69 3
< 0.1%
1.68 2
< 0.1%

Cred5
Real number (ℝ)

Distinct971
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666639
Minimum-6.8566667
Maximum11.203333
Zeros11
Zeros (%)< 0.1%
Negative1242
Negative (%)0.4%
Memory size4.3 MiB
2023-02-01T16:00:11.430634image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-6.8566667
5-th percentile0.52666667
Q10.64333333
median0.66666667
Q30.69666667
95-th percentile0.79666667
Maximum11.203333
Range18.06
Interquartile range (IQR)0.053333333

Descriptive statistics

Standard deviation0.13454974
Coefficient of variation (CV)0.2018247
Kurtosis244.94869
Mean0.66666639
Median Absolute Deviation (MAD)0.026666667
Skewness-1.1714948
Sum189871.25
Variance0.018103633
MonotonicityNot monotonic
2023-02-01T16:00:11.547909image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.66 11917
 
4.2%
0.6566666667 11053
 
3.9%
0.6766666667 10660
 
3.7%
0.6633333333 10589
 
3.7%
0.6666666667 10426
 
3.7%
0.6733333333 10193
 
3.6%
0.67 10010
 
3.5%
0.6533333333 9446
 
3.3%
0.68 9322
 
3.3%
0.6433333333 9196
 
3.2%
Other values (961) 181995
63.9%
ValueCountFrequency (%)
-6.856666667 1
< 0.1%
-2.633333333 1
< 0.1%
-2.616666667 1
< 0.1%
-2.596666667 1
< 0.1%
-2.513333333 2
< 0.1%
-2.463333333 1
< 0.1%
-2.293333333 2
< 0.1%
-2.28 2
< 0.1%
-2.233333333 1
< 0.1%
-2.19 1
< 0.1%
ValueCountFrequency (%)
11.20333333 1
< 0.1%
4.716666667 1
< 0.1%
4.38 1
< 0.1%
4.17 1
< 0.1%
4.046666667 1
< 0.1%
3.96 1
< 0.1%
3.733333333 1
< 0.1%
3.643333333 1
< 0.1%
3.57 1
< 0.1%
3.416666667 1
< 0.1%

Cred6
Real number (ℝ)

Distinct837
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666594
Minimum-4.4766667
Maximum11.95
Zeros4
Zeros (%)< 0.1%
Negative497
Negative (%)0.2%
Memory size4.3 MiB
2023-02-01T16:00:11.670651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4766667
5-th percentile0.56
Q10.65
median0.67
Q30.69333333
95-th percentile0.75333333
Maximum11.95
Range16.426667
Interquartile range (IQR)0.043333333

Descriptive statistics

Standard deviation0.11003494
Coefficient of variation (CV)0.16505259
Kurtosis933.24083
Mean0.66666594
Median Absolute Deviation (MAD)0.02
Skewness11.190144
Sum189871.13
Variance0.012107689
MonotonicityNot monotonic
2023-02-01T16:00:11.785372image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6733333333 18511
 
6.5%
0.67 16719
 
5.9%
0.6766666667 15602
 
5.5%
0.6666666667 12178
 
4.3%
0.6533333333 11843
 
4.2%
0.6466666667 11667
 
4.1%
0.6566666667 11149
 
3.9%
0.65 10780
 
3.8%
0.68 10005
 
3.5%
0.6633333333 8931
 
3.1%
Other values (827) 157422
55.3%
ValueCountFrequency (%)
-4.476666667 1
< 0.1%
-3.236666667 1
< 0.1%
-2.54 1
< 0.1%
-2.22 1
< 0.1%
-2.16 1
< 0.1%
-2.153333333 1
< 0.1%
-2.14 1
< 0.1%
-2.136666667 1
< 0.1%
-2.12 1
< 0.1%
-2.113333333 1
< 0.1%
ValueCountFrequency (%)
11.95 1
< 0.1%
8.206666667 1
< 0.1%
6.043333333 1
< 0.1%
5.98 1
< 0.1%
5.956666667 2
< 0.1%
5.923333333 1
< 0.1%
5.91 1
< 0.1%
5.883333333 1
< 0.1%
5.876666667 1
< 0.1%
5.873333333 1
< 0.1%

Normalised_FNT
Real number (ℝ)

Distinct32767
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-227.9126
Minimum-250
Maximum6172.79
Zeros129
Zeros (%)< 0.1%
Negative281738
Negative (%)98.9%
Memory size4.3 MiB
2023-02-01T16:00:11.914817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-250
5-th percentile-249.77
Q1-248.6
median-244.5
Q3-230.70875
95-th percentile-158.75
Maximum6172.79
Range6422.79
Interquartile range (IQR)17.89125

Descriptive statistics

Standard deviation62.530027
Coefficient of variation (CV)-0.27435968
Kurtosis845.09265
Mean-227.9126
Median Absolute Deviation (MAD)5.055
Skewness16.977724
Sum-64911102
Variance3910.0043
MonotonicityNot monotonic
2023-02-01T16:00:12.036658image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-249.75 13688
 
4.8%
-249.505 6044
 
2.1%
-249.7775 4872
 
1.7%
-247.5025 4747
 
1.7%
-246.25 3280
 
1.2%
-249.81 2998
 
1.1%
-247.5 2950
 
1.0%
-249.6775 2892
 
1.0%
-249.5525 2623
 
0.9%
-249.7525 2304
 
0.8%
Other values (32757) 238409
83.7%
ValueCountFrequency (%)
-250 1825
0.6%
-249.9975 718
 
0.3%
-249.995 85
 
< 0.1%
-249.9925 3
 
< 0.1%
-249.99 11
 
< 0.1%
-249.9875 44
 
< 0.1%
-249.985 3
 
< 0.1%
-249.9825 11
 
< 0.1%
-249.98 10
 
< 0.1%
-249.9775 2
 
< 0.1%
ValueCountFrequency (%)
6172.79 1
< 0.1%
4664.1325 1
< 0.1%
4477.5 1
< 0.1%
2977.7325 1
< 0.1%
2724.5225 1
< 0.1%
2697.46 1
< 0.1%
2299.86 1
< 0.1%
2250 1
< 0.1%
1947.565 1
< 0.1%
1946.75 1
< 0.1%

Target
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing56962
Missing (%)20.0%
Memory size4.3 MiB
0.0
227451 
1.0
 
394

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters683535
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 227451
79.9%
1.0 394
 
0.1%
(Missing) 56962
 
20.0%

Length

2023-02-01T16:00:12.147066image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-02-01T16:00:12.244245image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 227451
99.8%
1.0 394
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 455296
66.6%
. 227845
33.3%
1 394
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 455690
66.7%
Other Punctuation 227845
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 455296
99.9%
1 394
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 227845
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 683535
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 455296
66.6%
. 227845
33.3%
1 394
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 683535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 455296
66.6%
. 227845
33.3%
1 394
 
0.1%

data
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.3 MiB
train
227845 
test
56962 

Length

Max length5
Median length5
Mean length4.7999979
Min length4

Characters and Unicode

Total characters1367073
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtrain
2nd rowtrain
3rd rowtrain
4th rowtrain
5th rowtrain

Common Values

ValueCountFrequency (%)
train 227845
80.0%
test 56962
 
20.0%

Length

2023-02-01T16:00:12.320946image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-02-01T16:00:12.416656image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
train 227845
80.0%
test 56962
 
20.0%

Most occurring characters

ValueCountFrequency (%)
t 341769
25.0%
r 227845
16.7%
a 227845
16.7%
i 227845
16.7%
n 227845
16.7%
e 56962
 
4.2%
s 56962
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1367073
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 341769
25.0%
r 227845
16.7%
a 227845
16.7%
i 227845
16.7%
n 227845
16.7%
e 56962
 
4.2%
s 56962
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 1367073
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 341769
25.0%
r 227845
16.7%
a 227845
16.7%
i 227845
16.7%
n 227845
16.7%
e 56962
 
4.2%
s 56962
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1367073
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 341769
25.0%
r 227845
16.7%
a 227845
16.7%
i 227845
16.7%
n 227845
16.7%
e 56962
 
4.2%
s 56962
 
4.2%

geo_score
Real number (ℝ)

Distinct8359
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.8129856 × 10-6
Minimum-18.68
Maximum7.85
Zeros712
Zeros (%)0.2%
Negative120769
Negative (%)42.4%
Memory size4.3 MiB
2023-02-01T16:00:12.511304image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-18.68
5-th percentile-1.97
Q1-0.41
median0.14
Q30.62
95-th percentile1.24
Maximum7.85
Range26.53
Interquartile range (IQR)1.03

Descriptive statistics

Standard deviation0.99920519
Coefficient of variation (CV)-113378.74
Kurtosis20.241055
Mean-8.8129856 × 10-6
Median Absolute Deviation (MAD)0.51
Skewness-2.2782965
Sum-2.51
Variance0.99841101
MonotonicityNot monotonic
2023-02-01T16:00:12.635987image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 737
 
0.3%
0.4 733
 
0.3%
0.55 723
 
0.3%
0 712
 
0.2%
0.15 705
 
0.2%
0.45 704
 
0.2%
0.5 670
 
0.2%
0.2 664
 
0.2%
0.35 660
 
0.2%
0.1 660
 
0.2%
Other values (8349) 277839
97.6%
ValueCountFrequency (%)
-18.68 1
< 0.1%
-18.55 1
< 0.1%
-18.43 1
< 0.1%
-18.05 1
< 0.1%
-17.77 1
< 0.1%
-17.63 1
< 0.1%
-17.23 1
< 0.1%
-17.18 2
< 0.1%
-17.15 1
< 0.1%
-17.13 1
< 0.1%
ValueCountFrequency (%)
7.85 1
< 0.1%
4.85 1
< 0.1%
4.57 1
< 0.1%
4.47 1
< 0.1%
4.41 1
< 0.1%
4.4 1
< 0.1%
4.32 2
< 0.1%
4.3 1
< 0.1%
4.29 1
< 0.1%
4.24 1
< 0.1%

instance_scores
Real number (ℝ)

Distinct4894
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.8791427 × 10-6
Minimum-24.59
Maximum23.75
Zeros758
Zeros (%)0.3%
Negative159530
Negative (%)56.0%
Memory size4.3 MiB
2023-02-01T16:00:12.758353image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-24.59
5-th percentile-1.34
Q1-0.54
median-0.09
Q30.45
95-th percentile1.55
Maximum23.75
Range48.34
Interquartile range (IQR)0.99

Descriptive statistics

Standard deviation1.0888512
Coefficient of variation (CV)-378185.91
Kurtosis31.989384
Mean-2.8791427 × 10-6
Median Absolute Deviation (MAD)0.48
Skewness1.187075
Sum-0.82
Variance1.1855969
MonotonicityNot monotonic
2023-02-01T16:00:12.883169image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.22 1401
 
0.5%
-0.35 1242
 
0.4%
-0.51 1233
 
0.4%
-0.41 1187
 
0.4%
-0.2 1151
 
0.4%
-0.36 1134
 
0.4%
-0.37 1131
 
0.4%
-0.55 1119
 
0.4%
-0.38 1096
 
0.4%
-0.19 1086
 
0.4%
Other values (4884) 273027
95.9%
ValueCountFrequency (%)
-24.59 1
 
< 0.1%
-24.4 1
 
< 0.1%
-23.23 1
 
< 0.1%
-22.19 3
< 0.1%
-22.19 1
 
< 0.1%
-20.95 1
 
< 0.1%
-19.84 1
 
< 0.1%
-18.91 1
 
< 0.1%
-18.27 1
 
< 0.1%
-17.14 1
 
< 0.1%
ValueCountFrequency (%)
23.75 1
< 0.1%
15.33 1
< 0.1%
15.25 1
< 0.1%
15.24 1
< 0.1%
13.81 1
< 0.1%
13.73 1
< 0.1%
13.64 1
< 0.1%
13.56 1
< 0.1%
13.25 1
< 0.1%
13.2 1
< 0.1%

qsets_normalized_tat
Real number (ℝ)

Distinct7862
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0147223 × 10-5
Minimum-25.16
Maximum9.25
Zeros810
Zeros (%)0.3%
Negative153261
Negative (%)53.8%
Memory size4.3 MiB
2023-02-01T16:00:13.009315image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-25.16
5-th percentile-0.98
Q1-0.48
median-0.07
Q30.4
95-th percentile1.27
Maximum9.25
Range34.41
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation0.84933594
Coefficient of variation (CV)83701.322
Kurtosis94.802979
Mean1.0147223 × 10-5
Median Absolute Deviation (MAD)0.44
Skewness-3.8451518
Sum2.89
Variance0.72137154
MonotonicityNot monotonic
2023-02-01T16:00:13.130658image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4 867
 
0.3%
-0.35 861
 
0.3%
-0.25 856
 
0.3%
-0.55 835
 
0.3%
-0.45 822
 
0.3%
-0.3 817
 
0.3%
-0.5 811
 
0.3%
0 810
 
0.3%
-0.15 810
 
0.3%
0.1 791
 
0.3%
Other values (7852) 276527
97.1%
ValueCountFrequency (%)
-25.16 1
< 0.1%
-24.02 1
< 0.1%
-23.82 1
< 0.1%
-23.24 1
< 0.1%
-22.88 1
< 0.1%
-22.67 1
< 0.1%
-22.61 1
< 0.1%
-22.54 1
< 0.1%
-21.91 1
< 0.1%
-21.71 1
< 0.1%
ValueCountFrequency (%)
9.25 1
< 0.1%
9.21 1
< 0.1%
8.54 1
< 0.1%
7.89 1
< 0.1%
7.77 1
< 0.1%
7.73 1
< 0.1%
7.61 1
< 0.1%
7.57 1
< 0.1%
7.45 1
< 0.1%
7.41 1
< 0.1%

lambda_wt
Real number (ℝ)

Distinct1400
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1431566 × 10-6
Minimum-19.21
Maximum10.53
Zeros1709
Zeros (%)0.6%
Negative132924
Negative (%)46.7%
Memory size4.3 MiB
2023-02-01T16:00:13.261626image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-19.21
5-th percentile-1.44
Q1-0.43
median0.05
Q30.49
95-th percentile1.39
Maximum10.53
Range29.74
Interquartile range (IQR)0.92

Descriptive statistics

Standard deviation0.95860565
Coefficient of variation (CV)231370.85
Kurtosis23.877756
Mean4.1431566 × 10-6
Median Absolute Deviation (MAD)0.46
Skewness-1.9951411
Sum1.18
Variance0.91892479
MonotonicityNot monotonic
2023-02-01T16:00:13.381699image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19 1847
 
0.6%
-0.03 1786
 
0.6%
0.2 1771
 
0.6%
0.15 1768
 
0.6%
0.21 1768
 
0.6%
0.18 1754
 
0.6%
0.02 1736
 
0.6%
0.22 1734
 
0.6%
-0.06 1731
 
0.6%
0.05 1727
 
0.6%
Other values (1390) 267185
93.8%
ValueCountFrequency (%)
-19.21 1
< 0.1%
-18.82 1
< 0.1%
-18.49 1
< 0.1%
-18.39 1
< 0.1%
-18.05 1
< 0.1%
-17.72 1
< 0.1%
-17.62 1
< 0.1%
-17.48 1
< 0.1%
-17.23 1
< 0.1%
-16.34 1
< 0.1%
ValueCountFrequency (%)
10.53 1
< 0.1%
7.75 1
< 0.1%
7.69 1
< 0.1%
7.67 1
< 0.1%
7.52 1
< 0.1%
7.44 1
< 0.1%
7.42 1
< 0.1%
7.29 1
< 0.1%
7.23 1
< 0.1%
7.19 1
< 0.1%

Interactions

2023-02-01T15:59:57.278712image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:46.381698image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:50.806515image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:55.236021image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:59.530939image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:04.036617image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:08.763871image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:13.037081image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:17.632746image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:22.054741image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:26.896839image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:31.341815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:35.725887image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:40.461593image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:44.677171image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:48.967520image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:53.232626image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:57.862881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:02.268526image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:06.536926image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:11.116017image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:15.410810image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:20.263514image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:24.711310image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:29.548500image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:34.153217image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:38.755902image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:43.785596image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:48.224030image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:52.628594image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:57.435842image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:46.520779image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:50.947433image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:55.373629image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:59.668600image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:04.193959image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:08.905041image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:13.182321image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:17.764913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:22.204427image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:27.044681image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:31.482277image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:35.867031image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:40.600022image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:44.817362image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:49.110751image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:53.382311image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:58.054395image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:02.405915image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:06.685417image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:11.257420image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:15.552922image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:20.439178image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:24.869028image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:29.704596image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:34.300657image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:38.903101image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:43.938715image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:48.370369image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:52.786767image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:57.631722image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:46.669954image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:51.096015image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:55.519720image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:59.809459image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:04.364076image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:09.054216image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:13.336044image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:17.914737image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:22.371552image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:27.195854image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:31.623636image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:36.016284image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:40.747785image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-02-01T16:00:01.667236image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:50.667300image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:55.087878image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:57:59.391096image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:03.887411image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:08.611748image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:12.897908image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:17.495472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:21.902035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:26.736720image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:31.186133image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:35.587745image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:40.310959image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:44.524551image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:48.822169image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:53.087016image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:58:57.708668image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:02.119996image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:06.393382image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:10.962407image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:15.262563image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:20.082464image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:24.563318image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:29.398618image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:33.992306image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:38.605079image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:43.637531image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:48.080899image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:52.483160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-02-01T15:59:57.102147image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2023-02-01T16:00:13.553058image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
idPer1Per2Per3Per4Per5Per6Per7Per8Per9Dem1Dem2Dem3Dem4Dem5Dem6Dem7Dem8Dem9Cred1Cred2Cred3Cred4Cred5Cred6Normalised_FNTgeo_scoreinstance_scoresqsets_normalized_tatlambda_wtTargetdata
id1.0000.191-0.006-0.473-0.1420.226-0.1110.117-0.1040.018-0.227-0.045-0.2050.0020.0910.025-0.1200.0970.1330.148-0.016-0.2590.000-0.035-0.143-0.0400.0740.015-0.102-0.0920.0210.000
Per10.1911.000-0.384-0.4120.101-0.107-0.087-0.228-0.2360.1390.0140.0480.0300.038-0.0440.031-0.210-0.062-0.0290.145-0.0000.0490.006-0.105-0.208-0.0870.0030.232-0.058-0.0240.1560.001
Per2-0.006-0.3841.0000.0740.1550.343-0.1100.4260.007-0.078-0.0130.0290.0380.0680.0110.0020.041-0.098-0.056-0.0950.013-0.0860.0340.1290.138-0.5020.053-0.212-0.0020.0880.2640.005
Per3-0.473-0.4120.0741.0000.061-0.2240.171-0.0750.164-0.0310.0560.0070.051-0.047-0.045-0.0150.108-0.0400.004-0.140-0.0010.032-0.0170.1400.180-0.000-0.052-0.071-0.035-0.1310.3670.002
Per4-0.1420.1010.1550.0611.0000.0210.0750.060-0.0100.105-0.013-0.0250.053-0.0410.021-0.018-0.0100.039-0.0050.010-0.0090.061-0.064-0.0340.005-0.0220.1480.0260.0490.0990.3840.000
Per50.226-0.1070.343-0.2240.0211.000-0.0080.432-0.057-0.0570.0110.020-0.041-0.008-0.0160.0120.057-0.040-0.011-0.108-0.023-0.0160.0300.013-0.028-0.314-0.049-0.155-0.1460.0350.2100.000
Per6-0.111-0.087-0.1100.1710.075-0.0081.000-0.2930.4440.0290.060-0.004-0.046-0.0200.0520.0320.0530.0350.040-0.050-0.135-0.011-0.0240.0740.0200.2050.0370.063-0.027-0.0690.0000.000
Per70.117-0.2280.426-0.0750.0600.432-0.2931.000-0.389-0.1000.004-0.016-0.051-0.120-0.0710.0010.160-0.022-0.024-0.186-0.013-0.0460.017-0.0940.057-0.030-0.044-0.208-0.1470.0580.3030.000
Per8-0.104-0.2360.0070.164-0.010-0.0570.444-0.3891.000-0.0030.053-0.145-0.0170.0890.067-0.0330.0060.0770.0200.075-0.025-0.074-0.0080.1900.0890.0040.106-0.1210.0750.0410.2060.000
Per90.0180.139-0.078-0.0310.105-0.0570.029-0.100-0.0031.000-0.031-0.048-0.004-0.032-0.0150.003-0.015-0.0660.0020.074-0.002-0.0230.027-0.002-0.104-0.0770.103-0.291-0.069-0.0310.3810.000
Dem1-0.2270.014-0.0130.056-0.0130.0110.0600.0040.053-0.0311.000-0.035-0.0360.0690.0690.0100.042-0.0010.0010.031-0.005-0.005-0.006-0.026-0.027-0.0440.1970.0340.0740.1510.6080.003
Dem2-0.0450.0480.0290.007-0.0250.020-0.004-0.016-0.145-0.048-0.0351.0000.0140.000-0.010-0.0060.101-0.0500.0070.0020.0050.003-0.0040.004-0.007-0.0060.1870.000-0.017-0.0930.0090.000
Dem3-0.2050.0300.0380.0510.053-0.041-0.046-0.051-0.017-0.004-0.0360.0141.0000.0140.013-0.0550.0950.0320.0020.0320.0230.011-0.0160.0290.038-0.072-0.069-0.027-0.0240.0190.0080.000
Dem40.0020.0380.068-0.047-0.041-0.008-0.020-0.1200.089-0.0320.0690.0000.0141.0000.0230.0170.1770.092-0.0450.045-0.030-0.0150.042-0.046-0.010-0.106-0.118-0.055-0.237-0.1270.5920.000
Dem50.091-0.0440.011-0.0450.021-0.0160.052-0.0710.067-0.0150.069-0.0100.0130.0231.000-0.004-0.1060.0260.057-0.109-0.048-0.006-0.0270.0200.0230.048-0.066-0.054-0.158-0.0270.5110.003
Dem60.0250.0310.002-0.015-0.0180.0120.0320.001-0.0330.0030.010-0.006-0.0550.017-0.0041.0000.233-0.006-0.012-0.078-0.0560.004-0.016-0.018-0.040-0.0090.0200.0400.0450.0210.0750.003
Dem7-0.120-0.2100.0410.108-0.0100.0570.0530.1600.006-0.0150.0420.1010.0950.177-0.1060.2331.0000.1150.034-0.1950.0410.0450.0470.1040.2750.2010.014-0.087-0.017-0.1060.0200.005
Dem80.097-0.062-0.098-0.0400.039-0.0400.035-0.0220.077-0.066-0.001-0.0500.0320.0920.026-0.0060.1151.0000.677-0.2500.0320.037-0.040-0.0270.0670.1940.031-0.047-0.0090.0840.0710.006
Dem90.133-0.029-0.0560.004-0.005-0.0110.040-0.0240.0200.0020.0010.0070.002-0.0450.057-0.0120.0340.6771.000-0.2390.0150.029-0.0400.072-0.0370.080-0.0140.0420.013-0.0090.0890.007
Cred10.1480.145-0.095-0.1400.010-0.108-0.050-0.1860.0750.0740.0310.0020.0320.045-0.109-0.078-0.195-0.250-0.2391.0000.097-0.426-0.0020.049-0.069-0.0570.0810.0770.0370.0160.0180.000
Cred2-0.016-0.0000.013-0.001-0.009-0.023-0.135-0.013-0.025-0.002-0.0050.0050.023-0.030-0.048-0.0560.0410.0320.0150.0971.0000.0010.005-0.0360.046-0.013-0.002-0.0080.052-0.0220.0090.004
Cred3-0.2590.049-0.0860.0320.061-0.016-0.011-0.046-0.074-0.023-0.0050.0030.011-0.015-0.0060.0040.0450.0370.029-0.4260.0011.000-0.053-0.091-0.0520.0230.003-0.0170.0040.0360.0180.005
Cred40.0000.0060.034-0.017-0.0640.030-0.0240.017-0.0080.027-0.006-0.004-0.0160.042-0.027-0.0160.047-0.040-0.040-0.0020.005-0.0531.000-0.163-0.021-0.0670.012-0.027-0.008-0.0050.0000.000
Cred5-0.035-0.1050.1290.140-0.0340.0130.074-0.0940.190-0.002-0.0260.0040.029-0.0460.020-0.0180.104-0.0270.0720.049-0.036-0.091-0.1631.0000.458-0.1270.029-0.0210.046-0.0910.0440.000
Cred6-0.143-0.2080.1380.1800.005-0.0280.0200.0570.089-0.104-0.027-0.0070.038-0.0100.023-0.0400.2750.067-0.037-0.0690.046-0.052-0.0210.4581.0000.010-0.008-0.1300.065-0.0170.0290.000
Normalised_FNT-0.040-0.087-0.502-0.000-0.022-0.3140.205-0.0300.004-0.077-0.044-0.006-0.072-0.1060.048-0.0090.2010.1940.080-0.057-0.0130.023-0.067-0.1270.0101.000-0.0390.0550.054-0.0050.0000.004
geo_score0.0740.0030.053-0.0520.148-0.0490.037-0.0440.1060.1030.1970.187-0.069-0.118-0.0660.0200.0140.031-0.0140.081-0.0020.0030.0120.029-0.008-0.0391.000-0.164-0.205-0.0530.6780.000
instance_scores0.0150.232-0.212-0.0710.026-0.1550.063-0.208-0.121-0.2910.0340.000-0.027-0.055-0.0540.040-0.087-0.0470.0420.077-0.008-0.017-0.027-0.021-0.1300.055-0.1641.000-0.1480.0050.5540.003
qsets_normalized_tat-0.102-0.058-0.002-0.0350.049-0.146-0.027-0.1470.075-0.0690.074-0.017-0.024-0.237-0.1580.045-0.017-0.0090.0130.0370.0520.004-0.0080.0460.0650.054-0.205-0.1481.000-0.1650.6930.000
lambda_wt-0.092-0.0240.088-0.1310.0990.035-0.0690.0580.041-0.0310.151-0.0930.019-0.127-0.0270.021-0.1060.084-0.0090.016-0.0220.036-0.005-0.091-0.017-0.005-0.0530.005-0.1651.0000.6560.005
Target0.0210.1560.2640.3670.3840.2100.0000.3030.2060.3810.6080.0090.0080.5920.5110.0750.0200.0710.0890.0180.0090.0180.0000.0440.0290.0000.6780.5540.6930.6561.0001.000
data0.0000.0010.0050.0020.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0030.0030.0050.0060.0070.0000.0040.0050.0000.0000.0000.0040.0000.0030.0000.0051.0001.000

Missing values

2023-02-01T16:00:01.958988image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-02-01T16:00:02.884815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

idGroupPer1Per2Per3Per4Per5Per6Per7Per8Per9Dem1Dem2Dem3Dem4Dem5Dem6Dem7Dem8Dem9Cred1Cred2Cred3Cred4Cred5Cred6Normalised_FNTTargetdatageo_scoreinstance_scoresqsets_normalized_tatlambda_wt
0112751Grp1691.0700000.5800000.4800000.7666671.2333331.9933330.3400001.0100000.8633330.4600000.6433330.7366670.7566670.8133330.6933330.6666670.6800000.7266670.6066671.0100000.9333330.6033330.6866670.673333-245.75000.0train0.22-0.06-0.70-0.13
118495Grp1610.4733331.2066670.8833331.4300000.7266670.6266670.8100000.7833330.1900000.4700000.6133330.8833330.6533330.4633330.4833330.5833330.7166670.7433330.6800000.6900000.5600000.6700000.5533330.653333-248.00000.0train-0.250.520.140.66
223915Grp2611.1300000.1433330.9466670.1233330.0800000.8366670.0566670.7566670.2266670.6600000.7300000.8733330.9233331.2233330.6866670.6066670.6900000.8200000.6000000.3833330.7633330.6700000.6866670.673333-233.12500.0train-0.951.56-0.43-0.51
350806Grp1980.6366671.0900000.7500000.9400000.7433330.3466670.9566670.6333330.4866671.0966670.4666670.6700000.5266670.7833330.8566670.7166670.7200000.9000000.6800000.8466670.4233330.5200000.8466670.760000-249.77750.0train0.490.70-0.310.72
4184244Grp2280.5600001.0133330.5933330.4166670.7733330.4600000.8533330.7966670.5166670.7566670.6833330.2966670.7800000.6366670.7833330.6300000.6033330.4866670.6933330.5266670.5200000.7166670.7066670.673333-247.57750.0train0.85-0.47-0.630.60
5144029Grp450.8733330.1400000.8366670.2733330.1900000.6533330.5033330.7233331.2333331.1500000.5333330.9866670.5133330.7833330.8400000.8233330.7866670.8800000.5533330.7000000.7533330.7000000.6666670.686667-176.20000.0train1.30-1.16-0.020.14
6127618Grp690.9800000.5466670.8200000.8633330.6800001.1633330.4866670.8933330.8066671.3000000.0500000.7800000.223333-0.0100000.2933330.5633330.6500000.6733330.7166670.3933330.6733330.7900000.6766670.663333-242.62750.0train0.74-0.181.150.59
7116319Grp198-0.1366670.3600000.3666670.9966670.4733330.7066670.6766670.9333330.1666670.0666670.7833330.823333-0.0100001.0600000.6666670.6766670.6100000.5633330.6366670.4166670.5233330.6033330.8266670.626667-191.00500.0train-0.230.590.760.72
866485Grp571.0100000.6066670.8233331.0666670.5166670.6533330.6333330.7033330.7900000.8466670.3433330.4200000.6833330.7266670.8133330.6533330.6033330.4600000.6400000.6600000.8266670.4900000.6700000.673333-229.34750.0train0.62-0.01-0.380.32
9117942Grp271-0.1333330.8900000.2100000.3333330.7433331.0233330.4166670.0966670.4033330.4533330.8900000.3066670.9066670.6600000.7033330.8066670.2633330.8400000.6000000.1400000.5266670.9733330.7000000.616667-217.24250.0train1.21-1.33-0.421.02
idGroupPer1Per2Per3Per4Per5Per6Per7Per8Per9Dem1Dem2Dem3Dem4Dem5Dem6Dem7Dem8Dem9Cred1Cred2Cred3Cred4Cred5Cred6Normalised_FNTTargetdatageo_scoreinstance_scoresqsets_normalized_tatlambda_wt
284797221425Grp411.3133330.2333330.4900000.3466670.4266670.9200000.2366670.7733330.7200000.6000000.6800001.1433330.830000-0.1100000.3866670.6533330.8333331.1666670.7233330.3033330.5200000.6766670.6866670.650000-235.2500NaNtest-0.430.610.84-0.34
28479857694Grp860.2433331.1366671.1033330.7233330.5566670.2400000.8566670.7133330.4933330.6166670.8133330.7400000.7666670.5133330.3100000.5566670.6733330.5800000.7066670.9566670.5166670.3566670.5333330.713333-247.5025NaNtest0.63-0.56-0.450.34
28479989061Grp44-0.0133330.9766671.0533330.3100000.7366670.3533331.060000-0.4300000.6400000.6566670.4500000.7333330.6600000.4233330.4633330.3233331.3466670.4266670.7300000.9166670.8700000.9700000.5566670.503333-226.1775NaNtest-0.29-0.04-0.37-0.05
284800185469Grp890.5900000.8266670.7000000.4500001.0766670.7600000.9633330.5800000.7066670.7733330.9166670.4966670.5933330.8300000.9300000.6500000.7166670.9066670.6733330.6866670.3700000.5000000.6166670.683333-244.0825NaNtest0.86-0.05-0.96-0.11
284801256138Grp457-0.2233331.5433330.5500002.0900000.4366670.8433330.4333331.236667-0.2400000.5433330.2466670.8466670.8800001.0766671.1566670.5666670.8166670.8666670.5466670.5500000.8600000.8933330.3833330.610000-244.0800NaNtest-0.651.420.482.03
28480218333Grp1020.5533331.0433331.0966670.6866670.6733330.3400000.9000000.6433330.5433330.5866670.6600000.9700000.7966670.6266670.6366670.7000000.5766670.4333330.6600000.7766670.6100000.6900000.7500000.700000-249.5050NaNtest-0.15-0.510.01-0.40
284803244207Grp5041.3533330.6166670.2766670.7833330.6900000.6500000.4733330.6700001.0233330.2933330.9400000.8966670.9833330.9366670.5766670.6433330.7133330.8700000.6833330.6900000.6400000.8833330.6633330.660000-248.7525NaNtest0.11-0.460.06-1.54
284804103277Grp781.0833330.4333330.8066670.4900000.2433330.3166670.5333330.6066670.4200000.4800000.4900001.0233330.3100000.9066670.4500000.5366670.4333330.0633330.7533330.7800000.6033330.8800000.6433330.676667-231.0500NaNtest-0.530.65-0.020.29
284805273294Grp1340.5666671.1533330.3700000.6166670.7933330.2266670.9100000.6966670.6000000.5000000.8966670.8766670.6833330.8500000.5733330.6433330.7766671.0266670.6266670.6466670.5666670.6166670.7133330.706667-246.3150NaNtest0.27-0.920.61-0.69
284806223337Grp181.4266670.110000-0.006667-0.2000000.9833331.8700000.0333330.9633330.2666670.5866670.7933330.7800000.4933330.6233330.5533330.5433330.6166670.6700000.7700000.8933330.5866670.6166670.6833330.650000-248.4500NaNtest-0.701.570.35-0.37